Shaping Expertise, Bias and Responsibility in the Age of AI With Roboticist Dr. Ayanna Howard

There’s an old saying: familiarity breeds complacency. As Artificial Intelligence (AI) becomes more integrated into everyday work and life, the need to use it thoughtfully and critically is more important than ever. So why can’t we simply trust that AI outputs are fair, balanced and equitable? Because AI is a co-created system, shaped by what humans make available to it. And since we’re far from perfect, the data we provide reflects our own biases—intentional or not. As this episode’s guest explains, bias isn’t always clear-cut. The real challenge is learning to recognize and prevent biases from causing harm and when biases are beneficial.In this episode of Teach & Learn, host Dr. Cristi Ford is joined by Dr. Ayanna Howard, a leading roboticist, former electrical engineer at NASA's Jet Propulsion Laboratory and dean of The Ohio State University College of Engineering, to explore what it means to be human in an AI-driven world. Drawing from her keynote at the D2L Executive Summit and her audiobook Sex, Race, & Robots, Dr. Howard challenges how we define expertise, reframes how we think about bias and offers a hopeful, practical vision for more equitable learning and work.Rather than positioning AI as a replacement for human expertise, Dr. Ford and Dr. Howard chat about how AI can act as a collaborator, supporting curiosity, creativity, critical thinking and problem-solving when educators and learners engage with it thoughtfully.In this episode, Dr. Ford and Dr. Howard discuss:why AI should be approached with intention, not blind adoptionhow expertise is shifting from static knowledge to dynamic, human skillswhy bias in AI isn’t inherently harmful—and how context matters, including in areas like medicinehow a lack of diverse voices and lived experiences leads to inequitable outcomespractical actions educators, leaders and technologists can take to shape AI responsiblyAs Dr. Howard reminds us, being human in the age of AI means leaning into curiosity and creativity—and taking responsibility for the systems we help create.Resources:Exploring the promises and challenges of AI with Ayanna Howard '93, Brown University, School of EngineeringSex, Race, and Robots author Ayanna Howard discusses how to identify, fight bias, The RobotReportSex, Race and Robots: How to Be Human in the Age of AI, Audible Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.